Flipboard

MARCH 27, 2023

Douwe Osinga and Jack Amadeo were working together at Sidewalk Labs , Alphabet’s venture to build tech-forward cities, when they arrived at the conclusion that most spreadsheet software doesn’t scale up to today’s data challenges. Yet collaborating with today’s tools is underwhelming.”

Data Scientist 130

Data Scientist Python Data Science Data Analysis 130

DrivenData Labs

MARCH 30, 2023

Privacy-enhancing technologies (PETs) have the potential to unlock more trustworthy innovation in data analysis and machine learning. Federated learning is one such technology that enables organizations to analyze sensitive data while providing improved privacy protections. That’s why the U.S. The goal of the U.S.-U.K. This post introduces the U.S.

Machine Learning 162

Machine Learning Machine Learning Data Science Algorithm 162

Flipboard

MAY 10, 2023

Seattle-based Allen Institute for Artificial Intelligence announced a second fund of $30 million to back spinouts of its incubator program. GeekWire Photo / Todd Bishop) The Allen Institute for Artificial Intelligence (AI2) raised a fresh $30 million pre-seed fund to invest in “AI-first” startups born from its incubator program.

AI 160

AI AI Artificial Intelligence Artificial Intelligence 160

AWS Machine Learning Blog

APRIL 8, 2024

However, in many situations, you may need to retrieve documents created in a defined period or tagged with certain categories. However, in many situations, you may need to retrieve documents created in a defined period or tagged with certain categories. Contexts are retrieved from vector stores based on user queries.

AWS 107

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Towards AI

FEBRUARY 27, 2024

Google’s Gemma models were a somewhat surprising entry into the open-source LLM arena, with new 2B and 7B models debatably leading their categories on benchmarks. Last Updated on February 27, 2024 by Editorial Team Author(s): Towards AI Editorial Team Originally published on Towards AI. Mistral Large is 1.25x cheaper than GPT-4 Turbo.

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AI AI Data Analysis Data Analysis 98

Towards AI

OCTOBER 30, 2023

Fundamentally, the AI lab announced a new model known as GPT-4 Vision(GPT-4V), which allows users to instruct GPT-4 on image and audio inputs. Fundamentally, the AI lab announced a new model known as GPT-4 Vision(GPT-4V), which allows users to instruct GPT-4 on image and audio inputs.

Machine Learning 118

Machine Learning Machine Learning Artificial Intelligence Artificial Intelligence 118

AWS Machine Learning Blog

NOVEMBER 17, 2023

A rules engine evaluates moderation guidelines, determining the frequency of stream sampling and the applicable moderation categories, all within predefined policies. With the increased usage of live streaming, the need for effective content moderation becomes even more crucial. It caters to diverse regulations.

AWS 90

AWS ML ML Natural Language Processing 90

Smart Data Collective

JUNE 14, 2022

Gartner has developed a new enterprise networking technology category called Secure Access Service Edge (SASE) that brings together network operations and security point solutions to form a unified, global cloud service. Data breaches are becoming increasingly common each year. Let us talk about a couple of them. CATO SASE Expert Level 1.

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AWS Machine Learning Blog

OCTOBER 17, 2023

Search is crucial in engaging users because it brings high-intent traffic from individuals seeking specific products or categories. Amazon Personalize has launched a new integration with Amazon OpenSearch Service that enables you to personalize search results for each user and assists in predicting their search needs.

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AWS ML ML Computer Science 91

Smart Data Collective

NOVEMBER 24, 2022

The demand for AI and data science professionals is growing all over the world. Many data scientists are pursuing careers in Europe and Asian, which means that they have to be aware of the opportunities and requirements abroad. Italy is one of the most promising countries for people seeking careers in data science. Italian employers spent $78.3

Data Scientist 114

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AWS Machine Learning Blog

SEPTEMBER 7, 2023

This process requires breaking down data into three categories: 1) measurements available from the physical system, 2) the set of actions that can be taken upon the system, and 3) a numerical metric (reward) of equipment performance. To learn more about reinforcement learning, see Use Reinforcement Learning with Amazon SageMaker.

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AWS Machine Learning Machine Learning Natural Language Processing 97

Dataconomy

JULY 25, 2023

Fitness trackers, a popular category of wearable computers, were first introduced in the early 2000s, with the Fitbit being one of the pioneering brands ( Image Credit ) What is a wearable computer? Are you tired of juggling multiple devices and wires, feeling tied down to your desk, or missing out on life’s precious moments?

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Internet of Things Artificial Intelligence Artificial Intelligence AI 91

Dataconomy

APRIL 18, 2023

With the rise of AI-generated art and AI-powered chatbots like ChatGPT, it’s clear that artificial intelligence has become a ubiquitous part of our daily lives. These cutting-edge technologies have captured the public imagination, fueling speculation about the future of AI and its impact on society.

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Artificial Intelligence Artificial Intelligence Machine Learning Machine Learning 113

Smart Data Collective

MARCH 16, 2022

In some instances, AI labs are used to analyze the performance of investors and recommend changes that give significant results quickly. In some instances, AI labs are used to analyze the performance of investors and recommend changes that give significant results quickly. Big Data & Investment Today.

Big Data 105

Big Data Big Data Deep Learning Deep Learning 105

AWS Machine Learning Blog

FEBRUARY 24, 2023

The teams used existing FEMA categories for damage such as flooding, debris, fire and smoke, or landslides, which standardized the label categories. For more information, refer to Preview: Use Amazon SageMaker to Build, Train, and Deploy ML Models Using Geospatial Data.

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AWS Data Pipeline ML ML 86

Smart Data Collective

AUGUST 22, 2021

Data analytics has been very important for the FDA. They have used big data in many of their regulatory approaches. One example is with software validation. Big data has been instrumental in the software development process. In short, big data has been invaluable in helping the FDA ensure all software meets expectations.

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Smart Data Collective

OCTOBER 26, 2023

AI poses a number of benefits and risks for modern businesses. One of the most striking examples is in the field of cybersecurity. One poll found that 56% of companies use AI to enhance their cybersecurity strategies. A number of hackers are using AI to exploit their targets more easily.

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AI AI Artificial Intelligence Artificial Intelligence 93

Google Research AI blog

JUNE 6, 2023

Posted by Ruofei Du, Research Scientist, and Alex Olwal, Senior Staff Research Scientist, Google Augmented Reality Recent advances in video conferencing have significantly improved remote video communication through features like live captioning and noise cancellation. Visual Captions facilitates verbal communication with real-time visuals.

Deep Learning 69

Deep Learning Deep Learning 69

Google Research AI blog

DECEMBER 21, 2022

blood pressure) and categorical features with many or two categories (e.g., not varying during the modeling window), while others are time-varying, such as regular or sporadic lab measurements. For such models, researchers and practitioners need access to EHR data. they do not reveal any real patient's identity).

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ML ML Machine Learning Machine Learning 52

Smart Data Collective

DECEMBER 18, 2020

According to an investigation from Kaspersky Lab, a new hacking technique that’s been developed to tap into Google Analytics to steal confidential data surrounding payment cards and passwords among much more information that can be exploited. As a result, the attackers could access the stolen data in their Google Analytics account.”.

Analytics 84

Analytics Analytics 84

Mlearning.ai

MAY 3, 2023

K-Means Clustering What is K-Means Clustering in Machine Learning? K-Means Clustering is an unsupervised machine learning algorithm used for clustering data points into groups or clusters based on their similarity. K-Means aims to partition a set of data points into K clusters, where each data point belongs to the cluster whose centroid is closest.

Decision Trees 52

Decision Trees Clustering Machine Learning Machine Learning 52

Smart Data Collective

MARCH 10, 2022

Companies need to use data to optimize their websites and get the most value out of their digital marketing strategies. trillion megabytes of data are created every day. The majority of this data is generated over the Internet. They can use data to get better insights into the nature of their customers’ behavior.

Big Data 114

Big Data Big Data Analytics Analytics 114

phData

JULY 17, 2023

How to Implement a Successful AI Strategy for Your Company Dominick Rocco July 17, 2023 AI is revolutionizing the world’s business landscape by enabling enterprises to automate tasks, create new products & services, and elevate customer experiences. But like anything else, the great power of AI requires great responsibility. No problem!

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Smart Data Collective

DECEMBER 23, 2019

Swish Labs has talked about this in Medium. Find out which contract categories need to be addressed with your machine learning interface, such as: master agreement. Last year, Harvard Business Review published a great article on the ways that AI are changing contract management. service agreements. production schedules.

Machine Learning 61

Machine Learning Machine Learning Artificial Intelligence Artificial Intelligence 61

Mlearning.ai

FEBRUARY 24, 2023

library(readr) library(readxl) library(ggplot2) theme_set(theme_bw()) library(dplyr) library(lubridate) ggplot(df_temp, aes(x=Tijd, y=Temperature, col=bron))+ geom_line(alpha=0.5)+ labs(x="Time") First plot shows all the temperature data that I have. And about why modelling is all about tries and failures.

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ML ML Data Wrangling Algorithm 52

The MLOps Blog

FEBRUARY 22, 2024

TL;DR: In many machine-learning projects, the model has to frequently be retrained to adapt to changing data or to personalize it. Continual learning is a set of approaches to train machine learning models incrementally, using data samples only once as they arrive. Then, you repeat this process until you are satisfied with the results.

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ML ML Machine Learning Machine Learning 59

AWS Machine Learning Blog

FEBRUARY 9, 2023

Since 1880, the global temperature has increased 1.01 °C. Since 1993, sea levels have risen 102.5 millimeters. Since 2002, the land ice sheets in Antarctica have been losing mass at a rate of 151.0 billion metric tons per year. Lake Mead is the largest reservoir in the US. SageMaker geospatial makes the data query extremely easy.

Machine Learning 55

Machine Learning Machine Learning ML ML 55

IBM Data Science in Practice

NOVEMBER 21, 2022

The goal is to classify the complaint into one of the product categories accurately. You can also observe the distribution of product categories as shown below: Product category distribution Some of the product categories have fewer instances compared to others. So, you can drop those categories before training the model.

Deep Learning 130

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BAIR

APRIL 29, 2022

But the exciting potential for real world applications of RL should also come with a healthy dose of caution - for example RL policies are well known to be vulnerable to exploitation , and methods for safe and robust policy development are an active area of research.

Machine Learning 59

Machine Learning Machine Learning Supervised Learning ML 59

IBM Data Science in Practice

MARCH 13, 2023

Co-authored by Carolyn Saplicki , Data Scientist with Expert Labs, and Mitali Bante , Data Scientist with Expert Labs. Bias Mitigation There are several approaches to bias mitigation, which can be categorized into three categories: pre-processing, in-processing, and post-processing.

Machine Learning 130

Machine Learning Machine Learning Algorithm Data Scientist 130

DrivenData Labs

APRIL 10, 2024

The text indicating the concepts are highlighted in green, and the indicated concept IDs, names, and categories are shown. The Challenge ¶ Motivation ¶ Much of the world's healthcare data is stored in free-text documents, usually clinical notes taken by doctors. A synthetic example of medical text and annotations.

Computer Science 264

Computer Science Computer Science Machine Learning Machine Learning 264

AssemblyAI

MARCH 21, 2023

While AI systems like ChatGPT or Diffusion models for Generative AI have been in the limelight in the past months, Graph Neural Networks (GNN) have been rapidly advancing. What are the actual advantages of Graph Machine Learning? And why do Graph Neural Networks matter in 2023?

AI 126

AI AI Deep Learning Deep Learning 126

AWS Machine Learning Blog

MAY 1, 2024

Imagine harnessing the power of advanced language models to understand and respond to your customers’ inquiries. Amazon Bedrock , a fully managed service providing access to such models, makes this possible. Solution overview The following diagram illustrates this architecture. On the domain details page, view the user profiles. Choose New model.

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AWS Machine Learning Blog

JANUARY 6, 2023

The recently published IDC MarketScape: Asia/Pacific (Excluding Japan) AI Life-Cycle Software Tools and Platforms 2022 Vendor Assessment positions AWS in the Leaders category. AWS is positioned in the Leaders category based on current capabilities. AI life-cycle tools are essential to productize AI/ML solutions. AWS position.

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AWS Machine Learning Blog

SEPTEMBER 8, 2023

Digital publishers are continuously looking for ways to streamline and automate their media workflows in order to generate and publish new content as rapidly as they can. Publishers can have repositories containing millions of images and in order to save money, they need to be able to reuse these images across articles.

K-nearest Neighbors 98

K-nearest Neighbors AWS ML ML 98

phData

JULY 20, 2023

Scenario 1: Finding Orders That Contain MP3s but not Cell Phones The data used in these examples is the Plugs Electronic Hands-On Lab, which can be found in Sigma’s sample database. Both of these categories are found under the Product Family so we won’t be able to use Sigma’s built-in filter.

Data Warehouse 52

Data Warehouse Database Data Modeling Data Models 52

phData

JULY 20, 2023

Scenario 1: Finding Orders That Contain MP3s but not Cell Phones The data used in these examples is the Plugs Electronic Hands-On Lab, which can be found in Sigma’s sample database. Both of these categories are found under the Product Family so we won’t be able to use Sigma’s built-in filter.

Data Warehouse 52

Data Warehouse Database Data Modeling Data Models 52